What is data science?

Data science is an area of expertise focused on gaining information from data. Using programming skills, scientific methods, algorithms, and more, data scientists analyze data to form actionable insights.

How can I learn data science?

You’ll need to learn a programming language such as Python or R and master the principles of math and statistics. Knowledge of data analysis methods and data science tools is also essential. There are many ways to learn data science. As well as formal means of education, such as a degree or university study, there are plenty of other resources to help you learn at your own pace. As well as online courses and tutorials, there are books, videos, and more.

What skills are required for data science?

As well as knowledge of mathematics and statistics, data scientists need programming skills in languages such as Python, R, and SQL. Additionally, data science requires the ability to work with large data sets, knowledge of data visualization, data wrangling, and database management. Skills in machine learning and deep learning can also be useful.

What can I use data science for?

In a professional capacity, almost every industry can use data science to some degree. Healthcare organizations use data science to detect and cure diseases, while finance companies use it to detect and prevent fraud. All kinds of industries use data science for marketing, such as building recommendation systems and analyzing customer churn.

Is data science a good career?

Yes, data science is among the fastest-growing sectors in the US and worldwide. It’s also one of the best-paid careers out there. According to data from Payscale, experience data scientists earn an average of $97,609 and have a satisfaction rating of four stars out of five in the US.

Is it difficult to become a data scientist?

There are a few things to consider here. First, data science degrees can be competitive to get onto, often requiring consistently high grades. Similarly, many of the skills required for data science require a lot of study and patience. It can take several months to master all of the necessary basics, as well as a lot of practical experience to secure an entry-level position.

Does data science require coding?

Yes, you’ll need some coding experience in languages such as Python, R, SQL, Java, and C/C++. However, due to its relatively simple syntax, Python programming language is often the preferred choice among newcomers.

How long does it take to become a data scientist?

For a person with no prior coding experience and/or mathematical background, it can typically take 7 to 12 months of intensive studies to be at the level of an entry-level data scientist. However, it is important to remember that learning only the theoretical basis of data science may not make you a real data scientist.

What topics can I study within data science?

Once you’ve mastered the foundations of data science, you can then specialize in a variety of areas, including machine learning, artificial intelligence, big data analysis, business analytics and intelligence, data mining, and more.

Data, AI, and Cloud Courses

Master skills that matter

Browse Courses

615 Courses

Course

Introduction to Python

BasicSkill Level
4.6+
144.5K

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

Software Development

Course

AI Native

Introduction to SQL

BasicSkill Level
4.8+
114.5K

Learn how to create and query relational databases using SQL in just two hours.

Data Manipulation

Course

Understanding Artificial Intelligence

BasicSkill Level
4.5+
54.4K

Learn the basic concepts of Artificial Intelligence, such as machine learning, deep learning, NLP, generative AI, and more.

Artificial Intelligence

Course

Introduction to Power BI

BasicSkill Level
4.7+
54K

Master the Power BI basics and learn to use the data visualization software to build impactful reports.

Data Visualization

Course

Intermediate SQL

BasicSkill Level
4.8+
39.9K

Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!

Data Manipulation

Course

Intermediate Python

BasicSkill Level
4.6+
33K

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

Software Development

Course

Understanding Prompt Engineering

BasicSkill Level
4.5+
32.7K

Learn how to write effective prompts with ChatGPT to apply in your workflow today.

Artificial Intelligence

Course

Introduction to R

BasicSkill Level
4.7+
32K

Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Software Development

Course

Understanding Data Science

BasicSkill Level
4.7+
26.3K

An introduction to data science with no coding involved.

Data Literacy

Course

Joining Data in SQL

BasicSkill Level
4.6+
24.4K

Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

Data Manipulation

Course

Data Manipulation with pandas

BasicSkill Level
4.5+
23.2K

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

Data Manipulation

Course

Supervised Learning with scikit-learn

IntermediateSkill Level
4.6+
22.9K

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

Machine Learning

Course

Introduction to Excel

BasicSkill Level
4.6+
21.2K

Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.

Data Manipulation

Course

Understanding Cloud Computing

BasicSkill Level
4.7+
19.8K

A non-coding introduction to cloud computing, covering key concepts, terminology, and tools.

Cloud

Course

Introduction to Python for Developers

BasicSkill Level
4.7+
19.6K

Master the fundamentals of programming in Python. No prior knowledge required!

Software Development

Course

Working with the OpenAI API

BasicSkill Level
4.6+
18.8K

Start your journey developing AI-powered applications with the OpenAI API. Learn about the functionality that underpins popular AI applications like ChatGPT.

Artificial Intelligence

Course

Understanding ChatGPT

BasicSkill Level
4.6+
17.2K

Learn how to use ChatGPT. Discover best practices for writing prompts and explore common business use cases for the powerful AI tool.

Artificial Intelligence

Course

Introduction to AI Agents

BasicSkill Level
4.6+
17K

Learn the fundamentals of AI agents, their components, and real-world use—no coding required.

Artificial Intelligence

Course

Introduction to Data Literacy

BasicSkill Level
4.5+
16.6K

Data is all around us, which makes data literacy an essential life skill.

Data Literacy

Course

Understanding Data Engineering

BasicSkill Level
4.7+
16.4K

Discover how data engineers lay the groundwork that makes data science possible. No coding involved!

Data Engineering

Course

AI Native

Introduction to AI for Work

BasicSkill Level
4.7+
15.4K

Explore what AI is and how to use it responsibly for smarter, more productive work!

Artificial Intelligence

Course

AI Ethics

BasicSkill Level
4.6+
15.4K

Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.

Artificial Intelligence

Course

Generative AI for Business

BasicSkill Level
4.4+
15.2K

Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.

Artificial Intelligence

Course

Introduction to DAX in Power BI

BasicSkill Level
4.7+
14K

Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

Data Manipulation

Course

Understanding Machine Learning

BasicSkill Level
4.7+
13.1K

An introduction to machine learning with no coding involved.

Machine Learning

Course

Data Manipulation in SQL

BasicSkill Level
4.6+
12.7K

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

Data Manipulation

Course

Introduction to Git

BasicSkill Level
4.7+
12.5K

Discover the fundamentals of Git for version control in your software and data projects.

Software Development

Course

Generative AI Concepts

BasicSkill Level
4.6+
11.9K

Discover how to begin responsibly leveraging generative AI. Learn how generative AI models are developed and how they will impact society moving forward.

Artificial Intelligence

Course

Data Visualization in Power BI

BasicSkill Level
4.6+
11.8K

Power BI is a powerful data visualization tool that can be used in reports and dashboards.

Data Visualization

Course

Data Analysis in Excel

BasicSkill Level
4.5+
11.3K

Learn how to analyze data with PivotTables and intermediate logical functions before moving on to tools such as what-if analysis and forecasting.

Reporting

Browse Courses

Introduction to Python

Introduction to SQL

Understanding Artificial Intelligence

Introduction to Power BI

Intermediate SQL

Intermediate Python

Understanding Prompt Engineering

Introduction to R

Understanding Data Science

Joining Data in SQL

Data Manipulation with pandas

Supervised Learning with scikit-learn

Introduction to Excel

Understanding Cloud Computing

Introduction to Python for Developers

Working with the OpenAI API

Understanding ChatGPT

Introduction to AI Agents

Introduction to Data Literacy

Understanding Data Engineering

Introduction to AI for Work

AI Ethics

Generative AI for Business

Introduction to DAX in Power BI

Understanding Machine Learning

Data Manipulation in SQL

Introduction to Git

Generative AI Concepts

Data Visualization in Power BI

Data Analysis in Excel

FAQs

How can I learn data science?

What skills are required for data science?

What can I use data science for?

Is data science a good career?

Is it difficult to become a data scientist?

Does data science require coding?

How long does it take to become a data scientist?

What topics can I study within data science?